GMK NucBox
Geekbench AI Score
239
Single Precision Score
222
Half Precision Score
493
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows x86 (64-bit)
Result Information
| Upload Date | June 16 2025 05:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) J4125 CPU @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | GMK NucBox |
| Motherboard | GMK NucBox |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Celeron J4125 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.9 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (Q)
|
100% |
407
75.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
499
8.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
318
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
658
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (Q)
|
87% |
346
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
496
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
465
5.53 IPS |
|
|
Face Detection (Q)
|
97% |
1084
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.74 IPS |
|
|
Depth Estimation (Q)
|
81% |
801
6.32 IPS |
|
|
Style Transfer (SP)
|
100% |
634
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
589
0.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1952
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.77 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
376
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
73
97.8 IPS |
|
|
Text Classification (HP)
|
100% |
72
95.5 IPS |
|
|
Text Classification (Q)
|
91% |
162
217.2 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.82 IPS |
|
|
Machine Translation (Q)
|
100% |
180
3.10 IPS |
